AdmArwikihttp://www2.imr.no/
http://www2.imr.no/lib/images/favicon.icotext/html2010-12-13T16:34:58+01:00Lennart Frimannslundmfiles:mfileshttp://www2.imr.no/doku.php?id=mfiles:mfiles&rev=1292254498&do=diff
This page list the various Matlab and octave utilities which interact with ADMB, typically generating input for and interpreting output from ADMB. It is meant to be as complete as possible. This means that it is likely to contain many non-essential files as well as the essential files, for defining and running data sets.text/html2010-12-10T15:17:17+01:00Lennart Frimannslundadmb_real:all_cohorts:preliminary_experimentshttp://www2.imr.no/doku.php?id=admb_real:all_cohorts:preliminary_experiments&rev=1291990637&do=diff
Preliminary experiments
We test the model following all cohorts on a simple data set, and compare with the ICES VPA estimates.
We follow all cohorts aged 3 to 12 in the period 1994 to 2001. This gives the following .dat file:
# Auto-generated datfile
# Startyear
1994
# Endyear
2001
# Min age
3
# Max age
12
# Catch
6531.000000 59444.000000 102548.000000 59766.000000 32504.000000 10019.000000 6163.000000 3671.000000 7528.000000 995.000000
4879.000000 42587.000000 115329.000000 98485.000…text/html2010-11-16T15:27:07+01:00Lennart Frimannslundhovedsidehttp://www2.imr.no/doku.php?id=hovedside&rev=1289917627&do=diff
Parsimonious Fish Stock Assessment
Background to Methodologies
Collaboration
Work done April/May 2010
* Automatic Differentiation Model Builder (ADMB)
* ADMB Synthetic Data
* ADMB Real Data
* ADMB Discussions
* Hjelp med wiki-syntaksentext/html2010-11-16T15:25:23+01:00Lennart Frimannslundadmb_real:all_cohorts:model_descriptionhttp://www2.imr.no/doku.php?id=admb_real:all_cohorts:model_description&rev=1289917523&do=diff
Model following ALL cohorts
Description
Most of the models presented so far have followed one cohort in the first year under consideration, two in the second, three in the third, and so on. In addition, the models following ages 3 and up have relied on a preprocessing of the input data in order to ignore age groups zero through two. We now present a model which follows a fixed number of cohorts every year, without the need to preprocess the data.text/html2010-11-03T18:33:27+01:00Lennart Frimannslundadmb_real:n3_re_catch:catch_sigma_levels:catch_sigma_levelshttp://www2.imr.no/doku.php?id=admb_real:n3_re_catch:catch_sigma_levels:catch_sigma_levels&rev=1288805607&do=diff
In this section we perform an experiment similar to the testing of misfit as a function of catch standard deviation. The main difference is that in this experiment all variables are free. We will use the same data set, namely this one.
Summary
As the catch sigma, sc, grows, the following trend is fairly evident: